"""
项目：基于DeepSeek的智能工程设计系统
模块：多模态协同设计引擎
作者：刘昊轩、李佳音、刘伟伟、杨明久
架构说明：
1. 使用DeepSeek作为语义理解核心
2. 自训练模型处理多格式工程数据
3. 双模型协同迭代优化设计
"""

import json
import logging
from typing import Dict
from utilities.get_response import Ollama
from design_optimizer import DesignOptimizer  # 优化引擎
from file_processing import MultiFormatParser  # 自训练模型封装


class IntelligentDesignSystem:
    def __init__(self):
        # 初始化核心组件
        self.deepseek = Ollama
        self.file_parser = MultiFormatParser(model_path="models/prototype_parser.pt")
        self.optimizer = DesignOptimizer()
        self.design_context = {
            "current_state": None,
            "iteration_count": 0,
            "feedback_history": []
        }

        # 配置日志和监控
        self._setup_logging()
        self._warmup_models()

    def _setup_logging(self):
        """配置日志系统"""
        logging.basicConfig(
            level=logging.INFO,
            format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
            handlers=[
                logging.FileHandler("design_automation.log"),
                logging.StreamHandler()
            ]
        )
        self.logger = logging.getLogger("DesignEngine")

    def _warmup_models(self):
        """模型预热"""
        self.file_parser.warmup()
        self.deepseek.initialize_session()
        self.logger.info("系统预热完成")

    def process_design_request(self, user_input: str, prototype_files: list):
        """处理设计请求的完整流程"""
        try:
            # 第一阶段：初始解析
            parsed_data = self._parallel_processing(user_input, prototype_files)

            # 第二阶段：迭代优化
            final_design = self._iterative_optimization(parsed_data)

            # 第三阶段：结果生成
            return self._generate_output(final_design)

        except Exception as e:
            self.logger.error(f"设计流程异常: {str(e)}")
            raise DesignSystemError(f"系统错误: {str(e)}")

    def _parallel_processing(self, user_input: str, files: list):
        """多模态并行处理"""
        # DeepSeek处理自然语言
        language_analysis = self.deepseek.analyze(
            text=user_input,
            context="engineering_design",
            response_format="structured"
        )

        # 自训练模型处理文件
        file_analysis = self.file_parser.process_batch(files)

        # 融合多模态数据
        return self._fuse_modalities(language_analysis, file_analysis)

    def _fuse_modalities(self, text_data: Dict, file_data: Dict):
        """多模态数据融合"""
        fused_data = {
            "design_intent": text_data.get("key_parameters"),
            "geometry_constraints": file_data.get("geometric_features"),
            "material_properties": self._cross_validate(
                text_data.get("material_spec"),
                file_data.get("material_analysis")
            )
        }
        self.logger.info(f"多模态融合完成: {json.dumps(fused_data, indent=2)}")
        return fused_data

    def _iterative_optimization(self, initial_data: Dict):
        """双模型协同迭代"""
        current_design = initial_data
        for iteration in range(3):  # 最大3次迭代
            self.logger.info(f"开始第{iteration + 1}次迭代")

            # DeepSeek验证设计
            validation_result = self.deepseek.validate_design(
                current_design,
                context=self.design_context
            )

            # 自训练模型优化
            optimized_design = self.file_parser.optimize(
                current_design,
                validation_result["improvement_suggestions"]
            )

            # 记录迭代历史
            self._update_design_context(optimized_design, validation_result)

            # 收敛检查
            if self._check_convergence():
                break

            current_design = optimized_design

        return current_design

    def _update_design_context(self, design: Dict, validation: Dict):
        """更新设计上下文"""
        self.design_context.update({
            "current_state": design,
            "iteration_count": self.design_context["iteration_count"] + 1,
            "feedback_history": self.design_context["feedback_history"] + [
                validation["key_feedback"]
            ]
        })

    def _check_convergence(self):
        """检查设计收敛"""
        if len(self.design_context["feedback_history"]) < 2:
            return False

        last_two = self.design_context["feedback_history"][-2:]
        return self._calculate_similarity(last_two[0], last_two[1]) > 0.85

    def _generate_output(self, final_design: Dict):
        """生成最终输出"""
        # 生成三维模型
        inventor_model = self.file_parser.generate_inventor_model(final_design)

        # 生成分析报告
        analysis_report = self.deepseek.generate_report(
            final_design,
            context=self.design_context
        )

        # 生成二维图纸
        cad_drawing = self.file_parser.export_cad_drawing(
            inventor_model,
            drawing_standard="GB/T 4458"
        )

        return {
            "3d_model": inventor_model,
            "analysis_report": analysis_report,
            "2d_drawing": cad_drawing,
            "iteration_log": self.design_context["feedback_history"]
        }


class MultiFormatParser:
    """自训练模型封装类（示例实现）"""

    def __init__(self, model_path: str):
        self.model = self._load_custom_model(model_path)
        self.preprocessor = DesignDataPreprocessor()

    def process_batch(self, files: list):
        """处理多种格式文件"""
        processed_data = {}
        for file in files:
            file_type = self._detect_file_type(file)
            processor = getattr(self, f"_process_{file_type}", self._default_processor)
            processed_data.update(processor(file))
        return processed_data

    def _process_image(self, img_path: str):
        """处理图像文件"""
        features = self.model.extract_geometric_features(img_path)
        return {"geometric_features": features}

    def _process_step(self, step_path: str):
        """处理STEP文件"""
        return self.model.parse_step_file(step_path)

    def _default_processor(self, file_path: str):
        """默认文件处理器"""
        raise UnsupportedFormatError(f"不支持的文件格式: {file_path}")


class DesignSystemError(Exception):
    """自定义系统异常"""
    pass


class UnsupportedFormatError(DesignSystemError):
    """文件格式不支持异常"""
    pass


# 使用示例
if __name__ == "__main__":
    system = IntelligentDesignSystem()

    # 用户输入
    user_query = "我需要一个承重500kg的支架，材料使用Q345钢，需要包含减重孔"
    prototype_files = [
        "design_reference.png",
        "existing_design.step"
    ]

    # 执行设计流程
    try:
        result = system.process_design_request(user_query, prototype_files)
        print("最终设计结果：")
        print(json.dumps(result, indent=2, ensure_ascii=False))
    except DesignSystemError as e:
        print(f"设计失败: {str(e)}")